AuxoAI Engineering Pvt. Ltd.

Senior Data Engineer - GenAI

AuxoAI Engineering Pvt. Ltd. · Bengaluru, Karnataka, India

Software Development · 201-500 employees

Apr 07
Senior (5-10 yrs) Full-time India
Log in to apply, save this posting, or score it against your profile with AI.

About the role

Architect and develop end-to-end data pipelines while leveraging AI-assisted coding tools to accelerate development. Lead integration for complex data workflows and define engineering best practices across performance, scalability, and data governance.

What they look for

Data engineering GenAI Python SQL Apache Spark Data modeling ETL/ELT BigQuery Dataflow Cloud Composer Pub/Sub Dataproc Vertex AI Databricks Delta Lake Apache Iceberg

Requirements

Requires 6+ years of experience in data engineering with advanced proficiency in Python, SQL, and Apache Spark. Candidates must demonstrate expertise in end-to-end pipeline development, data modeling, and modern data quality frameworks.

Benefits

Professional development support Cloud certification sponsorship Competitive compensation Flexible work arrangements

Full description

AuxoAI is seeking a Senior GenAI Data Engineer with strong fundamentals in data engineering and end-to-end solution design. In this role, you will design and develop production-grade pipelines, leverage GenAI tools (Copilot, Claude, Gemini) to boost development productivity, and define engineering best practices across complex data environments.

This is a highly collaborative, cross-functional role — ideal for someone who thrives at the intersection of data engineering excellence and GenAI-powered innovation.

Location : Bangalore, Hyderabad, Mumbai, and Gurgaon

Responsibilities:

  • Architect and develop end-to-end data pipelines — from ingestion to transformation to consumption
  • Lead solutioning and integration for complex data workflows (batch and streaming)
  • Use AI-assisted coding tools (e.g., GitHub Copilot, Claude, Gemini) to accelerate code development, refactoring, and debugging
  • Implement robust data quality, testing, lineage, and governance frameworks
  • Drive best practices across pipeline performance, reusability, and scalability
  • Mentor junior engineers and contribute to capability building within the data team

Requirements

  • 6+ years of experience in data engineering, with expertise in:
  • End-to-end pipeline development (batch and streaming)
  • Data modeling (dimensional, Data Vault, OBT)
  • ETL/ELT design patterns, performance tuning, and optimization
  • SQL (Advanced) and Python (Advanced)
  • Apache Spark for large-scale data processing
  • Proficiency using AI coding tools (e.g., Copilot, Claude, Gemini) to enhance productivity and code quality
  • Strong understanding of data quality frameworks, unit testing, and CI/CD for data workflows

Preferred Qualifications:

  • Experience with Google Cloud Platform services:
  • BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI
  • Exposure to finance or sales data domains
  • Familiarity with Databricks, Delta Lake, or Apache Iceberg
  • GCP Professional Data Engineer certification is a plus

What We Offer:

  • Opportunity to work on modern data platforms with GenAI integration
  • Access to professional development support and cloud certification sponsorship
  • Competitive compensation and flexible work arrangements
  • A fast-paced, high-impact environment where innovation is valued